Upload model.py

model.py

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+import torch
+import torch.nn as nn
+
+class AddModel(nn.Module):
+    """
+    Input(2) -> Linear(32) -> ReLU -> Linear(64) -> ReLU -> Linear(1) -> Output
+    """
+    def __init__(self):
+        super(AddModel, self).__init__()
+        self.fc1 = nn.Linear(2, 32)
+        self.relu1 = nn.ReLU()
+        self.fc2 = nn.Linear(32, 64)
+        self.relu2 = nn.ReLU()
+        self.fc3 = nn.Linear(64, 1)
+
+    def forward(self, x):
+        x = self.relu1(self.fc1(x))
+        x = self.relu2(self.fc2(x))
+        x = self.fc3(x)
+        return x